emeebritto's Stars
trekhleb/machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
FutureAIGuru/BrainSimII
Neural Simulator for AGI research and development
binwiederhier/ntfy
Send push notifications to your phone or desktop using PUT/POST
facebookresearch/jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
davidmrau/mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
jbranchaud/til
:memo: Today I Learned
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
tysam-code/hlb-gpt
Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to larger models with one parameter change (feature currently in alpha).
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
editablejs/editable
🌱 A collaborative rich-text editor framework that focuses on stability, controllability, extensibility, and performance. 一款强到离谱的富文本编辑器框架，专注于稳定性、可控性、扩展性和性能。
NangoHQ/nango
A single API for all your integrations.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lucasjinreal/pytorch_chatbot
A Marvelous ChatBot implement using PyTorch.
ywk991112/pytorch-chatbot
Pytorch seq2seq chatbot
callsmusic/callsmusic
realJustinLee/dumb-chatbot
A dumb chat bot implemented using PyTorch and trained with Cornell Movie Dialogue
ldulcic/customer-support-chatbot
Customer support chatbot based on seq2seq model.
abhishek305/PyBot-A-ChatBot-For-Answering-Python-Queries-Using-NLP
Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.
Kry9toN/KryPtoN-Music-Bot
UserBot/Bot Telegram Voice Calls Music
viperadnan-git/force-subscribe-telegram-bot
A Telegram bot to force members to join a specific channel before sending messages in a group.
patrickloeber/pytorch-chatbot
Simple chatbot implementation with PyTorch.
fossasia/susi_firefoxbot
SUSI.AI Firefox Extension https://susi.ai
sohelamin/chatbot
An AI Based Chatbot [DEPRECATED]
thienudomsrirungruang/impostor
Chatbot that can emulate someone's chatting style by looking at their LINE chat logs. Uses transfer learning on GPT-2 using the Hugging Face model. Can be interacted with using discord.
dhakalu/chat-bot
Chat bot used in me project. This bot answers questions that you might have about me. Stack: Python, pytorch
u7javed/AI-Chatbot
A Chatbot developed using Gated-Recurrent-Units(GRUs) in Pytorch.